Die Flexibilität von Modellen des Wiedererkennens II: Konfidenzurteile

Despite decades of research, it is still a contested question which member of a set of competing models of recognition memory provides the most adequate account of the data. One of several factors contributing to this state of affairs is that the used model-selection measures only consider the number of parameters, but not the functional form of the models. We intend to develop measures of model flexibility that take functional form into account based on the minimum-description length principle. The resulting model selection measures will be useful for all research using these models in the future as well as for meta-analyses of old data, not only in the field of recognition memory. In the present proposal, we focus on developing the model-selection measures for confidence rating data as collected by the vast majority of studies in the field.

Projektbeginn: 01.04.2015
Projektende: 30.09.2016

Klauer K

Albert-Ludwigs-Universität Freiburg

• DFG Kl 614/32-2, DFG